SU-E-T-493: 4D Considerations for Active-Scanning Proton Beams

2011 ◽  
Vol 38 (6Part18) ◽  
pp. 3602-3602
Author(s):  
J Stoker ◽  
J Kruse
Keyword(s):  
2018 ◽  
Vol 127 ◽  
pp. S926
Author(s):  
A. Thummerer ◽  
P. Kuess ◽  
D. Georg ◽  
M. Clausen

2015 ◽  
Vol 14 (1) ◽  
pp. 81-98 ◽  
Author(s):  
Daila S. Gridley ◽  
Michael J. Pecaut ◽  
Xiao W. Mao ◽  
Andrew J. Wroe ◽  
Xian Luo-Owen

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexandre Leduc ◽  
Samia Chaouni ◽  
Frédéric Pouzoulet ◽  
Ludovic De Marzi ◽  
Frédérique Megnin-Chanet ◽  
...  

AbstractProton therapy allows to avoid excess radiation dose on normal tissues. However, there are some limitations. Indeed, passive delivery of proton beams results in an increase in the lateral dose upstream of the tumor and active scanning leads to strong differences in dose delivery. This study aims to assess possible differences in the transcriptomic response of skin in C57BL/6 mice after TBI irradiation by active or passive proton beams at the dose of 6 Gy compared to unirradiated mice. In that purpose, total RNA was extracted from skin samples 3 months after irradiation and RNA-Seq was performed. Results showed that active and passive delivery lead to completely different transcription profiles. Indeed, 140 and 167 genes were differentially expressed after active and passive scanning compared to unirradiated, respectively, with only one common gene corresponding to RIKEN cDNA 9930021J03. Moreover, protein–protein interactions performed by STRING analysis showed that 31 and 25 genes are functionally related after active and passive delivery, respectively, with no common gene between both types of proton delivery. Analysis showed that active scanning led to the regulation of genes involved in skin development which was not the case with passive delivery. Moreover, 14 ncRNA were differentially regulated after active scanning against none for passive delivery. Active scanning led to 49 potential mRNA-ncRNA pairs with one ncRNA mainly involved, Gm44383 which is a miRNA. The 43 genes potentially regulated by the miRNA Gm44393 confirmed an important role of active scanning on skin keratin pathway. Our results demonstrated that there are differences in skin gene expression still 3 months after proton irradiation versus unirradiated mouse skin. And strong differences do exist in late skin gene expression between scattered or scanned proton beams. Further investigations are strongly needed to understand this discrepancy and to improve treatments by proton therapy.


2019 ◽  
Vol 195 (7) ◽  
pp. 677-687 ◽  
Author(s):  
Laila König ◽  
Nina Bougatf ◽  
Juliane Hörner-Rieber ◽  
Naved Chaudhri ◽  
Thomas Mielke ◽  
...  

2020 ◽  
Vol 77 ◽  
pp. 187-193
Author(s):  
Suphalak Khachonkham ◽  
Elisabeth Mara ◽  
Sylvia Gruber ◽  
Rafael Preuer ◽  
Peter Kuess ◽  
...  

2019 ◽  
Vol 46 (7) ◽  
pp. 3278-3284 ◽  
Author(s):  
Fatima Padilla‐Cabal ◽  
Peter Kuess ◽  
Dietmar Georg ◽  
Hugo Palmans ◽  
Lukas Fetty ◽  
...  

2011 ◽  
Vol 56 (24) ◽  
pp. 7725-7735 ◽  
Author(s):  
Xiaodong Zhang ◽  
Wei Liu ◽  
Yupeng Li ◽  
Xiaoqiang Li ◽  
Michelle Quan ◽  
...  

2000 ◽  
Vol 19 (3) ◽  
pp. 169-180
Author(s):  
Pirkko Walden ◽  
Christer Carlsson ◽  
Shuhua Liu

Modern time managers have access to many more data sources than managers of earlier times, and better instruments and resources to deal with large amounts of data. In principle, this means that they have a better command of facts and should be able to work out better assessments of their business environment. In reality, however, information overflow and problems with the quality and reliability of information complicate the picture. We have a support system with intelligent agents to help managers conduct constantly active scanning and interpretation activities with hundreds of data sources. The system was built on a Java platform and has been enhanced and developed in several versions. The first implementation was at the Alko Group (the producers of the Finlandia vodka). The system is expected to provide mangers with a broad and comprehensive first approximation of environmental trends and events as needed, and will help them extract useful information from large volumes of data. (Originally presented at the ISDSS’99 Conference, Melbourne, July 19–22, 1999.)


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